Live data from Hacker News

Show HN: Timeplus Proton 3.0 – First vectorized streaming SQL engine

github.com

1–10 of 13 posts

Show HN: Timeplus Proton 3.0 – First vectorized streaming SQL engine

#1
Two years after open sourcing Proton, we're releasing v3.0 which brings enterprise-grade streaming capabilities to the open source version: full connectivity, processing, and routing in a single binary with zero dependencies.

Key features:

First vectorized streaming SQL engine in modern C++ with JIT compilation

High-throughput, low-latency, high-cardinality processing End-to-end streaming: ETL, joins, aggregation, alerts, and tasks

Native connectors: Kafka, Redpanda, Pulsar, ClickHouse, Splunk, Elastic, MongoDB, S3, Iceberg

Native Python UDF/UDAF support to support your AI/ML work loads

The same performance we've proven in large enterprise deployments is now available in the community edition.

Would love feedback from anyone working with streaming data or looking for Flink/ksqlDB alternatives.

Show HN: Timeplus Proton 3.0 – First vectorized streaming SQL engine
github.com

Re: Show HN: Timeplus Proton 3.0 – First vectorized streaming SQL engine

#6

Probably the smallest yet most powerful binary for real-time, incremental SQL data processing, end to end!

a single binary is nice, but how to scale?

here is the overview of the Timeplus Cluster https://docs.timeplus.com/cluster#overview

basically all the cluster nodes are deployed with the same binary with extra configurations.

Re: Show HN: Timeplus Proton 3.0 – First vectorized streaming SQL engine

#9

Congrats on the major release! And good to see Redpanda mentioned as a first-class citizen with a native connector!

redpanda was in our radar back to 2022, it is still the first choice to make low latency streaming processing partner with Timeplus https://www.timeplus.com/post/realizing-low-latency-streamin...
Post reply on HN